{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "inputfile = 'attrsConstruction.xlsx'\n",
    "#由于ARIMA 模型对时间序列的要求是平稳型，需要进行平稳性检验\n",
    "data = pd.read_excel(inputfile)\n",
    "df = data.iloc[:len(data)-5]# 不使用最后5个数\n",
    "diff = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjAAAAHLCAYAAADWTKIoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncr4BAXPH6AWoYkcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x95ab780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 方法一----------------时间序列图法\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure',figsize=(9,7))\n",
    "import datetime\n",
    "import matplotlib.dates as mdates\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']= False\n",
    "\n",
    "fig  = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.set_title(u\"C盘已使用空间的时序图\")\n",
    "# ax.set_xlabel(u'日期')\n",
    "ax.set(xlabel=u'日期',ylabel=u'磁盘使用大小')\n",
    "# 图上时间间隔显示为10天\n",
    "ax.xaxis.set_major_locator(mdates.DayLocator(bymonthday=range(1,32), interval=10)) \n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%Y-%m-%d\"))\n",
    "plt.subplots_adjust(bottom=0.13,top=0.95)\n",
    "ax.plot(df['COLLECTTIME'],df['CWXT_DB:184:C:\\\\'],'ro-',)\n",
    "\n",
    "fig.autofmt_xdate() #自动根据标签长度进行旋转\n",
    "'''for label in ax.xaxis.get_ticklabels():   #此语句完成功能同上\n",
    "       label.set_rotation(45)\n",
    "'''\n",
    "# plt.savefig('d.jpg')\n",
    "plt.show()\n",
    "# data\n",
    "# 由图可知，该序列值不平稳（若平稳，会围绕某值上下晃动）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-5.431654160478633, 5.5834051354053017e-08)\n",
      "原始序列经过0阶差分后归于平稳，p值为5.58340513541e-08\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# 方法二----------------：单位根检验（ADF）\n",
    "\n",
    "# # 方法：采用单位根检验（ADF）的方法或者时序图的方法（见数据探索模块）\n",
    "# from statsmodels.tsa.stattools import adfuller as ADF\n",
    "# 判断D盘数据的平稳性，以及确定几次差分后平稳\n",
    "# x = ADF(df['CWXT_DB:184:C:\\\\'])\n",
    "# print x \n",
    "\n",
    "\n",
    "# 方法三----------------游程检验\n",
    "from statsmodels.sandbox.stats.runs import runstest_1samp as RSS\n",
    "x = RSS(df['CWXT_DB:184:C:\\\\'])\n",
    "print x\n",
    "\n",
    "\n",
    "# 方法四----------------自相关系数法\n",
    "# from statsmodels.tsa.stattools import acf as ACF\n",
    "# x = ACF(df['CWXT_DB:184:C:\\\\'])\n",
    "# print x\n",
    "\n",
    "while x[1] >= 0.05 : # adf[1]是p值，p值小于0.05认为是平稳的\n",
    "    print x[1]\n",
    "    diff = diff + 1\n",
    "#     x = ADF(df['CWXT_DB:184:C:\\\\'].diff(diff).dropna())#注意，差分后使用ADF检验时，必须去掉空值\n",
    "    x = RSS(df['CWXT_DB:184:C:\\\\'].diff(diff).dropna())#注意，差分后使用RSS检验时，必须去掉空值\n",
    "#     x = ACF(df['CWXT_DB:184:C:\\\\'].diff(diff).dropna())#注意，差分后使用ACF(自相关系数）检验时，必须去掉空值\n",
    "    \n",
    "print (u'原始序列经过%s阶差分后归于平稳，p值为%s') % (diff, x[1])\n",
    "\n",
    "# df['CWXT_DB:184:C:\\\\_x'] = df['CWXT_DB:184:C:\\\\'].diff(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda2\\lib\\site-packages\\statsmodels\\compat\\pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAs8AAAK4CAYAAACLVRDOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb965160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 方法五-------通过自相关和偏相关图判定平稳性，并确定所用模型(******)\n",
    "\n",
    "# 如果自相关是拖尾，偏相关截尾，则用 AR 算法\n",
    "# 如果自相关截尾，偏相关拖尾，则用 MA 算法\n",
    "# 如果自相关和偏相关都是拖尾，则用 ARMA 算法， ARIMA 是 ARMA 算法的扩展版，用法类似 。\n",
    "\n",
    "# 通过自相关图可以发现，该图自相关和偏相关都是拖尾，因此，确定是ARMA算法，或者ARIMA算法\n",
    "\n",
    "# 查看是否序列平稳 自相关图法/时间序列的散点图\n",
    "from scipy import  stats\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.graphics.api import qqplot\n",
    "dta = df['CWXT_DB:184:C:\\\\']\n",
    " # 原数据的的自相关图与偏自相关图\n",
    "fig = plt.figure(figsize=(12,12))\n",
    "ax1=fig.add_subplot(411)# 自相关图\n",
    "fig = sm.graphics.tsa.plot_acf(dta,lags=40,ax=ax1)\n",
    "ax1.set_title(u'原始数据的自相关图')\n",
    "\n",
    "ax2 = fig.add_subplot(412)# 篇自相关图\n",
    "fig = sm.graphics.tsa.plot_pacf(dta,lags=40,ax=ax2)\n",
    "ax2.set_title(u'原始数据的偏相关图')\n",
    "\n",
    "# 一阶差分后的自相关图与偏自相关图\n",
    "dta= dta.diff(1).dropna() # 注意一定要将查分后的空值去掉再取自相关系数\n",
    "ax3=fig.add_subplot(413)# 自相关图\n",
    "fig = sm.graphics.tsa.plot_acf(dta,lags=40,ax=ax3)\n",
    "ax3.set_title(u'一阶差分后的自相关图')\n",
    "\n",
    "ax4 = fig.add_subplot(414)# 篇自相关图\n",
    "fig = sm.graphics.tsa.plot_pacf(dta,lags=40,ax=ax4)\n",
    "ax4.set_title(u'一阶差分后的偏相关图')\n",
    "plt.savefig('acf_pacf.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
